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Performance Evaluation of Complex Equipment Considering Resume Information.
Xiangyi Zhou1, Zhijie Zhou1, Guanyu Hu2
1Missile Engineering Institute, PLA Rocket Force University of Engineering, Xi'an 710025, China.
Entropy (Basel, Switzerland)
|December 23, 2022
Summary
This study introduces a new method for evaluating complex equipment performance by integrating test data with historical resume information. This approach enhances equipment maintenance and operational reliability using evidential reasoning.
Area of Science:
- Engineering
- Reliability Engineering
- Data Science
Background:
- Effective complex equipment performance evaluation is crucial for operational reliability and maintenance.
- Current methods primarily rely on test data, neglecting valuable historical resume information.
- Resume information offers a comprehensive data source for evaluating equipment in non-testing scenarios.
Purpose of the Study:
- To develop a novel evidential reasoning (ER)-based method for complex equipment performance evaluation.
- To integrate both test data and historical resume information into a unified evaluation framework.
- To improve the accuracy and comprehensiveness of equipment performance assessments.
Main Methods:
- A novel method to transform test data and resume information into an ER-based framework.
- Development of distinct reliability calculation methods based on index types (coefficient of variation, mean time to failure).
- Expert weight construction for index weight analysis and ER rule-based fusion.
Main Results:
- Successful unification of diverse data sources (test and resume) within the ER framework.
- Demonstrated effectiveness of proposed reliability calculation and index weighting methods.
- Validation of the integrated approach through a case study on an inertial measurement unit (IMU).
Conclusions:
- The proposed ER-based method effectively integrates test data and resume information for comprehensive equipment performance evaluation.
- This approach enhances the accuracy and flexibility of performance assessments, particularly in non-testing situations.
- The method provides a robust framework for improving equipment maintenance and operational reliability.
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